Biraz yön değiştirmenin zamanı geldi. App Genie artık yalnızca app'inizi yapmıyor, aynı zamanda app'inizi sizinle birlikte büyütüyor. Strateji, kreatifler, reklamlar Şu anda yönettiğimiz portfolyo aylık $1M üzerinde. Daha fazla "mobile app business" yaratmak için heyecanlıyız.

If Anthropic actually drops Fable 5.5 today it might be all over

Claude Code can now use almost any app on your computer, not just your code. CLI-Anything wraps desktop software in a command line an AI agent can operate: GIMP, Blender, LibreOffice, Calibre and a growing list of community-built ones. → CLI-Hub works like an app store for agent-ready tools → No CLI for your app yet? A plugin generates one → Works with Claude Code, Cursor, Codex, OpenClaw and more Try one in two commands: pip install cli-anything-hub cli-hub install gimp Add the generator to Claude Code: /plugin marketplace add HKUDS/CLI-Anything /plugin install cli-anything You still need the real app installed: GIMP for the GIMP CLI, Blender for the Blender one. 52K+ GitHub stars. Apache-2.0. github.com/HKUDS/CLI-Anythin…

This works well. If Grok @Bot makes a mistake with a purchase or leaks your card (never happened yet), SpaceX will make you whole.

Getting my first real exposure to multi-agent development workflows recently and… well, nothing I say will be new, but: 1) This is clearly the future. 2) Oh we’re going to buy so much inference. 3) Barely feels like software engineering but I end the day intellectually spent.

I spent 48 hours in SF hanging out with billionaires, data labs and AI founders and execs running $1B to $100B companies. My observations: 1. Sooo MANY stories of data brokers making like $2M a WEEK selling company data to labs. I can't tell if it's the beginning or a bubble, and I kept wondering which niches are left. Digging into it actively. 2. At dinner, someone asked the table, "If a new model drops next month, does your company get better or worse?" HALF the table went quiet! I think that's the best question to ask about any AI startup right now. 3. The bar people talk about now is hitting $1B in revenue in 12 months (I guess that's the new unicorn?). What I didn't hear much about is retention. AI revenue can come in fast and leave fast, and I think we're going to see a lot of stories of AI companies with huge revenue and terrible retention. 4. It's pretty clear we're living through the reinvention of the computer. The model is the CPU, the harness is the operating system, and skills and plugins are the apps. Thinking about it that way makes it easier to see where the whitespace is. 5. We're maybe 12 months from an agent that can watch you work for a week and then do your job without any instructions. The screen recording plus agent memory plus local model combination makes this possible right now. 6. Agent harnesses feel like the new GPT wrappers, in a good way, especially vertical ones. The best teams I talked to treat the model as swappable. One founder walked me through routing different models to different jobs: one for taste and visuals, a cheaper one for the everyday stuff, another for text. They use prompts they can move across models over fine-tuning, and A/B test the output on what users actually do with it: do they edit it, export it, share it? A vertical harness is basically four things: the connectors for that industry's data, evals written by people who know the work, rules for what the agent can and can't touch, and a clean screen for a human to review. The model is maybe 20% of it. 7. There's a lot of reverse engineering going on/cloning going on more than I've ever seen. People are decompiling software and rebuilding it with agents, and someone showed a suite of like 10 apps that are worth $5B+ each all that he cloned open source. Me and everyone are still thinking through what it means when software gets this easy to copy. 8. My guess is the value moves to data. If the software can be rebuilt quickly, what's worth paying for in a legacy SaaS company is the years of customer data and workflows inside it. Some SaaS companies are secretly data companies. Gets me thinking about how do you truly value data for this saas companies? Like if we were buying these dying saas companies at 2x ARR before (as example), maybe there is a better metric. Idk, just thinking out loud here. 9. It feels like a good chunk of legacy software won't make it to the agentic era, especially anything built around people clicking through a lot of screens. 10. Every company I talked to wants to pipe its internal data into one place and expose it to agents through MCP. Then they look at the data and realize it's a mess: five versions of the same customer, old Slack channels, PDFs nobody can search. Cleaning that up feels like a big consulting opportunity! 11. A lot of founders are building the basic building blocks for agents: APIs, data layers and tools. Some of the companies I saw barely have a UI because the main user is an agent. I really believe the startups that build primitives to this agentic era will do extremely well. Building blocks is the best way to think about it. 12. Labs can get plenty of training data, but it's harder to get real examples of agents failing inside companies. Whoever has those logs has something valuable. 13. Someone running a big consumer company told me the next fight is over memory. The model that remembers the most about you wins, and the smartest model matters less than people think. 14. Physical AI came up a lot. Astra I think was the first model that got people into AI can actually do CAD, and I think a lot of people are thinking what does vibe manufacturing really look like. The line I keep thinking about came from a robotics founder: the hardest problems in AI are deployment problems now, not research problems. Their robots work on their own, call a human when they get stuck, and every one of those calls becomes training data. 15. Cybersecurity companies are having a moment and are actually cool companies to build now, especially the ones that clean up after a breach. Every agent with access to your systems is a new door into your company, and a lot of those doors were left open. 16. Some startups are worth more dead than alive now. A shutdown company with 5 years of Slack, email and code can get paid for licensing all of it. I wouldn't be surprised if founders start factoring that into when they shut down. 17. People are starting to talk about monetizing the agent web. It feels really early, but when the most popular user of the internet is an agent, what startups should you be building? 18. I think agent insurance is coming. Once an agent makes an expensive mistake, insurers will want audits before they cover anyone. 19. Several people said the hire they want most is someone with taste who can write evals. The models are getting good at generating ideas, so the hard part is judging which ones are good. 20. New trend I observed: startup raises VC, uses venture dollars to become a creator, startup fails, founder falls back on being a full-time creator and incubates other products bootstrapped. 21. Getting SIGNIFICANT distribution is HARD right now. Founders are sponsoring buses, buying billboards like crazy and throwing parties with famous DJs to get noticed. Kinda feels dotcom era in that sense. Attention is what's scarce! The growth guy going viral sharing his UGC strategy from Wispr Flow is a good example. It's the sauce everyone wants, and I truly believe there are probably only 50 people on the planet who know how to scale these types of businesses efficiently in this era. Always good to get that dose of SF. I felt sooo lucky to have such an incredible trip during such an incredible time in building businesses. Surreal in so many ways. Happy to be home and locked in. Until next time!

String theory is what happens when an intelligent system is starved of sensory input and starts hallucinating. Intelligence needs grounding. For this reason, intelligence is practically never the bottleneck to solving impactful problems. The bottleneck is iterated contact with reality.

I keep telling people this Regular people around me already use AI apps all the time in advanced ways Most tech people are in their own bubble thinking we're the only ones who use AI

you don't need a Mac to build iPhone apps anymore. Xtool is an open-source Xcode replacement that builds, signs and installs iOS apps from Linux, Windows or macOS. Paste this into Claude Code: "Install xtool (github.com/xtool-org/xtool) and run xtool setup. Create a SwiftUI app called [NAME] that [WHAT IT DOES]. Keep it to 3 screens, native iOS components, dark mode support.

AI was supposed to make us work less I've never been this tired in my life most days I have up to 10 agents running at the same time. one fixing a bug, one writing pages, one refactoring something I already forgot I asked for, 3 other I have no idea what they are doing but i suppose i ask it? and I jump from conversation to conversation all day compared to 5 years ago, I probably context switch 100x more by the end of the day my brain is fried. completely toasted. nothing left, not even for the people I love I call it the fried brain effect thought it was just me but almost every founder I talk to lately says the exact same thing we got superpowers, and somehow the pressure only went up. if you can ship 10x more, you feel like you have to ship 10x more. every single day I don't have a solution honestly I have no idea where this goes from here anyone else feeling this?

Factory's @TaylorTheSavage argues that Claude Code and Codex aren't necessarily the best tools for their own AI models, and third-party harnesses can actually outperform them: "One thing that I deeply believed before I started at Factory was that the harnesses created by the model companies are going to be the best for their models. Claude Code is going to be the best for Anthropic models, obviously, and Codex is going to be the best for OpenAI models, obviously." "Starting at Factory, I realized that is just not true at all. You can actually do a lot better than those harnesses, certainly on specific types of workloads, but also even in the general case. Different incentives than you have if you’re building a third-party harness." "Keeping them separate also allows you to not get too overfit towards one model. You need to be able to delegate between the different models, not just models from one particular company." "Like Shelby Cobra, you’ve got tuners of cars that can take a car that’s built by Ford and make it work better than it rolled off the factory line. You get things coming out from one OEM, and then you’ve got other people that tune it aftermarket. I think that’s absolutely true with harnesses and models." @FactoryAI

GitHub is full of free tools most people still haven’t touched. 10 repos blowing up right now, from easy wins to more technical setups:  1.⁠ ⁠VoiceStudio Clone voices, dub videos, and transcribe in 646 languages, all locally. ⁠ github.com/debpalash/VoiceSt… ⁠  2.⁠ ⁠ppt-master Turn PDFs or Word docs into editable PowerPoints with animations. ⁠ github.com/hugohe3/ppt-maste… ⁠  3.⁠ ⁠gods-eye-view A browser-based global tracking simulator with planes, ships, cameras, and a 3D globe. ⁠ github.com/bilawalsidhu/gods… ⁠  4.⁠ ⁠REA Let your AI inspect how functions in other apps work, even without source code. ⁠ github.com/morluto/rea ⁠  5.⁠ ⁠diagram-design Generate branded diagrams from plain English across 44 formats. ⁠ github.com/cathrynlavery/dia… ⁠  6.⁠ ⁠paperclip Run and manage autonomous agents like a small AI company. ⁠ github.com/paperclipai/paper… ⁠  7.⁠ ⁠skills by Matt Pocock Practical Claude Code skills built for real engineering workflows. ⁠ github.com/mattpocock/skills ⁠  8.⁠ ⁠ECC Skills, memory, and security for Claude Code, Codex, Cursor, and OpenCode. ⁠ github.com/affaan-m/ECC ⁠  9.⁠ ⁠andrej-karpathy-skills A compact set of coding rules based on common model failure modes. ⁠ github.com/multica-ai/andrej… ⁠ 10.⁠ ⁠claude-mem Carries your agent’s context forward so every session doesn’t start from zero. ⁠ github.com/thedotmack/claude… ⁠ Save this before you lose it.

Today, I wanted to know how much money I've spent, so I vibe-coded a financial report that connects to all of my accounts. Since my wife wanted to see the report, I also vibe-coded a messaging app and sent her the PDF. Before opening the file, she vibe-coded a PDF viewer and made it run on her vibe-coded operating system. I think we did a great job, so I'm now vibe-coding a GitHub clone to share the code and prompts we used. I hope you vibe-code a browser to download it all when ready.

Brands like this are going to get sued out of their mind for a few months of really strong performance once January hits. Or Meta may ban accounts unless they have clear AI disclosures. Some of this stuff is insane. This ad is the 2nd highest spending ad according to Trendtrack and it's so wildly misleading. That lady is supposed to be 61?? Yeesh. Good ad tho.

another one that seems to be "dogshit" but printing

"You need to build apps for wealthy people" so true: $200k MRR in 15 months

stop believing apple + hard paywalls is the only way levla just had its first $600+ day. android only, softest paywall in the world =) just build a good product lol